Master Thesis (d/m/f) Experimental Investigation And Statistical Analysis And Modeling Of Ice Accretion On Aerodynamic Surfaces
ATR (Airbus/Leonardo)
Ottobrunn, Munich, Germany
Icing wind tunnel facility
High-speed imaging or load cells
Data-driven predictive icing model
The goal of this thesis is to quantify how ice builds up and sheds from propellers up to 300 mm in length under varying environmental conditions and to translate these findings into a predictive icing model
Job Summary
The goal of this thesis is to quantify how ice builds up and sheds from propellers up to 300 mm in length under varying environmental conditions and to translate these findings into a predictive icing model.
Key Responsibilities include Experimental Design, Wind Tunnel Testing, Data Acquisition, and Statistical Modeling.
During your master thesis you will be guided by experienced Airbus researchers and gain invaluable industry exposure at the forefront of aerospace innovation.
Matching Summary
The goal of this thesis is to quantify how ice builds up and sheds from propellers up to 300 mm in length under varying environmental conditions and to translate these findings into a predictive icing model.
Skills & Requirements
Must-have
Icing wind tunnel facility
High-speed imaging or load cells
Data-driven predictive icing model
Experimental aerodynamics and fluid dynamics
Data analysis and programming (Python, MATLAB, or R)
Statistical modeling
Nice-to-have
Thermodynamics or icing physics knowledge
Industry exposure at aerospace innovation forefront
Participation in technical project meetings
Key Requirements
Student in Aerospace Engineering, Mechanical Engineering, Physics, or Data Science